Our goal with this series is to enable everyone to understand AI phenomena in their daily lives, as well as to actively shape the growing influence of AI on our society. Therefore, we do not consider any technical details or provide an introduction on how to use certain machine learning frameworks. Instead, we focus on explaining the underlying ideas of machine learning which empower everyone to understand and shape the digital world that surrounds us.

“Ouch, that’s hot!” — After their first encounter with a hot plate, children quickly learn not to touch it… That’s because children learn through direct interaction with and feedback from their environment. …


Our goal with this series is to enable everyone to understand AI phenomena in their daily lives, as well as to actively shape the growing influence of AI on our society. Therefore, we do not consider any technical details or provide an introduction on how to use certain machine learning frameworks. Instead, we focus on explaining the underlying ideas of machine learning which empower everyone to understand and shape the digital world that surrounds us.

If we take a large pile of Lego bricks and ask three children to sort them, the children will most probably create several smaller piles of bricks. They may create these piles based on color or size of the individual brick, even without explicit instructions. …


Our goal with this series is to enable everyone to understand AI phenomena in their daily lives, as well as to actively shape the growing influence of AI on our society. Therefore, we do not consider any technical details or provide an introduction on how to use certain machine learning frameworks. Instead, we focus on explaining the underlying ideas of machine learning which empower everyone to understand and shape the digital world that surrounds us.

For many children, a dog is the animal they ever encounter (“a bow-wow”). Initially, a child will apply this term to other animals as well, such as cats and cows. Through further encounters, the child will then learn that these other animal species have distinct names and it will soon be able to identify the animals by their individual characteristics, even without explicit description. …


An Introduction of the underlying Ideas in Machine Learning

Our goal with this series is to enable everyone to understand AI phenomena in their daily lives, as well as to actively shape the growing influence of AI on our society. Therefore, we do not consider any technical details or provide an introduction on how to use certain machine learning frameworks. Instead, we focus on explaining the underlying ideas of machine learning which empower everyone to understand and shape the digital world that surrounds us.

How can cars “learn” to drive autonomously? How do computers recognize cancer cells? And does my online shop know what I want to buy? Recent progress in the field of AI is largely driven by machine learning — a subfield of AI that deals with algorithms that improve through experience over time, i.e. …

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Stefan Seegerer

Researcher | Developer | Speaker | Educator

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